Real–Time Optimization by Extremum–Seeking Control – Kartik B.Ariyur

Kartik B.Ariyur – Real-Time Optimization by Extremum-Seeking Control

DESCRIPTION

An up-close look at the theory behind and application of extremum seeking
Originally developed as a method of adaptive control for hard-to-model systems, extremum seeking solves some of the same problems as today’s neural network techniques, but in a more rigorous and practical way. Following the resurgence in popularity of extremum-seeking control in aerospace and automotive engineering, Real-Time Optimization by Extremum-Seeking Control presents the theoretical foundations and selected applications of this method of real-time optimization.
Written by authorities in the field and pioneers in adaptive nonlinear control systems, this book presents both significant theoretic value and important practical potential. Filled with in-depth insight and expert advice, Real-Time Optimization by Extremum-Seeking Control:
* Develops optimization theory from the points of dynamic feedback and adaptation
* Builds a solid bridge between the classical optimization theory and modern feedback and adaptation techniques
* Provides a collection of useful tools for problems in this complex area
* Presents numerous applications of this powerful methodology
* Demonstrates the immense potential of this methodology for future theory development and applications
Real-Time Optimization by Extremum-Seeking Control is an important resource for both students and professionals in all areas of engineering-electrical, mechanical, aerospace, chemical, biomedical-and is also a valuable reference for practicing control engineers.

TABLE OF CONTENTS

Preface.

I: THEORY.

1. SISO Scheme and Linear Analysis.
2. Multiparameter Extremum Seeking.
3. Slope Seeking.
4. Discrete Time Extremum Seeking.
5. Nonlinear Analysis.
6. Limit Cycle Minimization.

II: APPLICATIONS.

7. Antilock Braking.
8. Bioreactors.
9. Formation Flight.

10.Combustion Instabilities.

11. Compressor Instabilities: Part I.
12. Compressor Instabilities: Part II.

Appendix A: Continuous Time Lemmas.

Appendix B: Discrete Time Lemas.

Appendix C: Aircraft Dynamics in Close Formation Flight.

Appendix D: Derivation of (11.8) and (11.10).

Appendix E: Derivation of the Critical Slopes.

Appendix F: Proof of Lemma 11.1.

Bibliography.

Index.

AUTHOR INFORMATION

Kartik B. Ariyur is a research scientist at Honeywell Aerospace Electronic Systems in Minneapolis, Minnesota.

Miroslav Krstic´ is Professor of Mechanical and Aerospace Engineering at the University of California, San Diego.

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